D. Kondratyuk

Computer Vision and Pattern Recognition · with Brown · 2021

A researcher in the Science corpus: 1 paper; trusts 171 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom D. Kondratyuk trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Kaiming He
  2. Karen Simonyan
  3. Geoffrey E. Hinton
  4. Quoc V. Le
  5. Alex Krizhevsky
  6. Andrew Zisserman
  7. João Carreira
  8. Yoshua Bengio
  9. Ronald J. Williams
  10. Ross B. Girshick

Who trusts D. Kondratyuk overall

  1. Bo Wu
  2. Shen Yan
  3. Shoubin Yu

Papers from D. Kondratyuk's perspective

Ordered by how strongly the researchers D. Kondratyuk trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers